The enterprise AI field guide.
Plain definitions for decisions that are too important to hide behind product language.
This field guide explains how MH – Applied AI uses core enterprise AI terms and identifies the operational decisions behind each one.
Independent enterprise handbooks · English editions
From AI platform to changed work.
Two practical field guides connect governed engineering with adoption, operating ownership, and evidence—without pretending a platform or a license is the strategy.
Microsoft 365 Copilot Adoption Guide for Enterprises
An independent, vendor-neutral handbook for enterprise leaders taking Microsoft 365 Copilot from license assignment to governed, evidence-based adoption.
Microsoft Foundry Adoption Guide for Enterprises
A practical, independent handbook for enterprise leaders and architects moving from Microsoft Foundry exploration to governed production.
Forward-deployed engineering
Senior engineers work inside the client context from outcome framing through deployment, operation, and transfer. The purpose is to shorten the distance between a decision and the system that must support it.
Private AI
Selected model, data, retrieval, and inference paths run inside infrastructure controlled by the organization. Private does not automatically mean on-premises, disconnected, or open source.
Agentic AI
Software uses models to choose and sequence actions within a bounded task, approved tools, permissions, and stop conditions. Autonomy is a designed range, not a binary property.
Token efficiency
The system uses only the model calls and context required to meet a measured quality target. Efficiency includes routing, retrieval quality, caching, shorter context, smaller models, and deterministic software.
Embodied AI
Perception, reasoning, and action are connected to a physical system. The operating design must account for timing, sensors, movement, supervision, safety, maintenance, and real-world variation.
Bring us the mission, not a shopping list.
In the first conversation we map the operational outcome, constraints, deployment environment, and the shortest credible path to evidence.
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